Associate member at INRIA Parietal. Visiting assistant professor at UW, Statistics departement. 46, rue Barrault,. 75634 Paris Cedex 13, France.

MOOC Fondamentaux pour le Big Data.

And I are looking looking for a data scientist to work on large-scale non-smooth optimization methods and other topics. You can find more information in this link. The job description is intentionally vague, and depending on the candidate this can be a postdoc-like job with most of their time devoted to research or an engineering-like job with more emphasis on coding tasks and contributing to open source projects.

Machine learning for Neuro-Imaging in Python. Describing the concepts at the root of nilearn published in. Please consider citing the scikit-learn. Nilearn is a Python module for fast and easy statistical learning on NeuroImaging. Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

This is my research home page. I am a former PostDoctoral fellow at Institut Langevin, a joint laboratory between ESPCI ParisTech, Paris VII university and the CNRS in collaboration with Prof. I have now joined Deezer. Where I continue to work on computer music analysis, only at a slightly bigger scale. Page and free source code to reproduce a great part of it on my github. From time to time, I give a hand to my brother who developped a free and very nice menu planner.